Comments (1)
For any classification problem, we need more than one class. In your case, IIUIC, the collected data only contains positive examples, i.e., clicks. To evaluate the model, you need to construct negative samples by combining a user with some items that he/she didn't click, forming zero Ys.
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Related Issues (20)
- When i run the proprecess.py in Avazu,a bug HOT 1
- Session segmentation on Delicious datasets HOT 1
- KDD12数据集 HOT 2
- each of session id will use the all padding data, if it will cause information to travel through HOT 2
- train_x, train_y, train_i HOT 1
- 在SocialRec的test.py中batchsize被设为1 HOT 1
- SocialRec中的samples HOT 1
- 会话中的物品顺序 HOT 4
- DGRec
- DGRec代码Pytorch版本 HOT 4
- SOCIALrec的model中的local_features
- Question about ReLU in Multi-Head Attention
- Code for your paper: Ekar: An Explainable Method for Knowledge Aware Recommendation?
- We cannot properly reproduce the results in the paper HOT 16
- 数据集 HOT 1
- doubts about the data processing of Criteo in AutoInt HOT 1
- Converting to top-n recommendation HOT 1
- Extracting Attention And Visualize it HOT 1
- UniformNeighborSampler in SocialRec HOT 1
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